{"id":"W2145836573","doi":"10.1287/mnsc.1050.0452","title":"Tailored Supply Chain Decision Making Under Price-Sensitive Stochastic Demand and Delivery Uncertainty","year":2005,"lang":"en","type":"article","venue":"Management Science","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland; McGill University","funders":"","keywords":"Supply chain; Profit (economics); Decentralization; Supply chain management; Microeconomics; Business; Computer science; Industrial organization; Operations research; Economics; Marketing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001447413,0.0003297632,0.0002431639,0.001003041,0.0007980948,0.0008931276,0.0006431696,0.00004641063,0.000256552],"category_scores_gemma":[0.00007511892,0.0003056556,0.00006754462,0.001377669,0.0005056338,0.002137231,0.00134573,0.0001308074,0.0003722877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002366629,"about_ca_system_score_gemma":0.00001737229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000723515,"about_ca_topic_score_gemma":0.00009903283,"domain_scores_codex":[0.9969396,0.00001538886,0.0003801915,0.0009247499,0.0009703056,0.0007697605],"domain_scores_gemma":[0.9990568,0.00007673066,0.0002078814,0.0004709352,0.0001368031,0.00005088418],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003938572,0.0004543675,0.004481627,0.0004266738,0.0001720088,0.0001246976,0.0006216085,0.213771,0.0006356519,0.4339367,0.01829045,0.3266914],"study_design_scores_gemma":[0.002573589,0.00005666452,0.1007484,0.0006154689,0.0002330845,0.000007679841,0.005405452,0.8183689,0.00005179835,0.01734009,0.0532024,0.00139652],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.762143,0.0002534085,0.1544632,0.003642049,0.0011597,0.00196693,0.000003005671,0.0004387826,0.07592995],"genre_scores_gemma":[0.9898876,0.00003016939,0.002294049,0.006536552,0.0004592613,0.00004111182,0.000006149167,0.00002702662,0.0007181123],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6045979,"threshold_uncertainty_score":0.9999396,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01548451316672794,"score_gpt":0.2352731964511865,"score_spread":0.2197886832844586,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}